معرفی
Alireza Pourreza is an Associate Professor in the Department of Biological and Agricultural Engineering at the University of California, Davis, affiliated with the College of Engineering. His work focuses on advancing digital agriculture through innovations in precision agriculture, remote sensing, and agricultural robotics. He leads the Digital Agriculture Lab, which develops technologies like the Virtual Orchard and Spray Backstop system to optimize crop management and reduce environmental impact. His research emphasizes spectral imaging, machine learning, and sensor development for early detection of plant diseases (e.g., citrus Huanglongbing) and nutrient deficiencies. Recent projects include almond yield forecasting via aerial imagery and grape nitrogen sensing using hyperspectral data. Pourreza collaborates with industry and academia, disseminating findings through workshops, extension publications, and media outreach. He holds a patent for HLB detection methods and actively engages in publicizing digital agriculture's role in sustainable food production.
Research Highlights:
- Developed vision-based sensors for citrus disease detection
- Pioneered 3D canopy modeling for almond and grape nutrient estimation
- Advocated for drone integration in precision farming
- Authored numerous extension articles on digital agriculture tools
